Literature values of the in vivo distribution (BB) of drugs from blood, plasma, or serum to rat brain have been assembled for 207 compounds (233 data points). We find that data on in vivo distribution from blood, plasma, and serum to rat brain can all be combined. Application of our general linear f
Correlation and prediction of a large blood–brain distribution data set—an LFER study
✍ Scribed by James A. Platts; Michael H. Abraham; Yuan H. Zhao; Anne Hersey; Luke Ijaz; Darko Butina
- Book ID
- 108422009
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- French
- Weight
- 113 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0223-5234
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## Abstract A genetic algorithm‐based artificial neural network model has been developed for the accurate prediction of the blood–brain barrier partitioning (in log__BB__ scale) of chemicals. A data set of 123 log__BB__ (115 old molecules and 8 new molecules) of a diverse set of chemicals was chose